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Compare and contrast a naive bayes classifier and logistic regression.


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Naive Bayes classifiers are simpler and require less computational power compared to logistic regression. Naive Bayes assumes the predictors are independent of each other, whereas logistic regression allows for the relationship between the predictors. Logistic regression also produces better results when the predictor variables are highly correlated. Additionally, logistic regression can be used to predict probabilities, while naive bayes classifiers cannot.